The article examines how AI desktop agents like Agivar use screen‑recording teaching to let ordinary users train AI to execute complex workflow tasks, offering speed gains, deterministic execution, and a potential alternative to costly Forward Deployment Engineers.
This guide explains how to use the native MediaRecorder API to capture screen, audio, or canvas streams in the browser, walk through a three‑step implementation—getting the stream, recording it, and handling the output—and shares best practices for compatibility, MIME types, user permissions, resource cleanup, and performance.
This article walks through creating a Python‑based screen recorder on Windows 10 using Pillow for screenshots, OpenCV for video encoding, NumPy for frame processing, and pynput to control recording via hotkeys, including steps to install dependencies, calculate optimal FPS, and save MP4 files.
This tutorial walks through creating a desktop screen‑recording tool using Electron with a React‑Vite front‑end, Ant Design UI, IPC communication, system‑tray controls, draggable windows, and FFmpeg for capturing video in WebM, MP4, or GIF formats.
This tutorial walks through creating a desktop screen‑recording tool using Electron with a React‑Vite front‑end, configuring resolution, frame rate, and output formats (webm, mp4, gif), implementing IPC communication, system‑tray controls, draggable windows, and FFmpeg‑based recording logic.
The article explains how to implement iOS system‑wide screen recording using ReplayKit, covering its evolution, extension setup, sample‑buffer handling, communication between host app and extension, user‑friendly activation via RPSystemBroadcastPickerView, privacy‑mode safeguards, memory‑limit management, and practical tips for robust live streaming.
Learn how to create a Python-based screen recording tool on Windows 10 using Pillow for screenshots, OpenCV for video encoding, NumPy for frame processing, and pynput for hotkey control, with step-by-step code examples, optimal FPS calculation, and MP4 saving techniques.
This article examines both perceptual and non‑perceptual web screen‑recording solutions, detailing WebRTC‑based capture, rrweb DOM recording, associated code examples, playback and live streaming methods, and discusses their suitable application scenarios and browser compatibility.
This article presents a comprehensive technical analysis of cross‑platform web screen recording, covering strict business requirements, evaluation of rrweb, ffmpeg, and WebRTC solutions, detailed implementations for video and audio capture in Electron, handling of lock‑screen issues, WebM metadata fixes, memory‑usage constraints, and performance optimizations.
This guide explains how to capture audio from Android applications by mapping MEmu emulator instances, automating screen recording with Windows APIs, and separating the audio track using ffmpeg, while addressing common pitfalls such as filename collisions and permission issues.
Android applications often suffer from high battery drain, slow launches, and UI lag, so this article explains three practical methods—using ADB commands, screenrecord video analysis, and code instrumentation—to measure and analyze app startup time, with detailed steps, interpretation of timing metrics, and visual examples.
